Alaska Network Infrastructure Engineer - Sr Level
Anchorage, Alaska, 99513, United States On-site
$50,000–$175,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
A3 Technology, Inc. is seeking a highly experienced Network Infrastructure Engineer to support the FAA Alaska Automation Capability (AAC) program, a critical FAA initiative modernizing flight service infrastructure across 17 Alaska Flight Service Stations (FSS). This role serves as the technical authority for network architecture, telecommunications integration, and system digitization – ensuring the delivery of a resilient, scalable, and interoperable communications and automation platform in one of the most operationally demanding environments in the National Airspace System (NAS). This position is 100% on-site, located in Anchorage, Alaska. Travel to remote locations may be required.
What you'll bring
- 10+ years of progressive experience in network infrastructure engineering, with at least 5 years in a systems integration or SME capacity on large-scale government or aviation programs.
- Voice over IP (VoIP) architecture, configuration, and troubleshooting
- Legacy and modern voice switching and call distribution systems
- Telecommunications network design and resilient architecture
- Integration of legacy radio systems with modern digital platforms
- LAN/WAN infrastructure, routing, switching, and network security.
- Demonstrated experience supporting FAA, DoD, or other federal aviation/ATC systems integration programs.
- Proficiency in producing network architecture diagrams, configuration documentation, and formal test/acceptance reports.
- Ability to obtain and maintain required FAA public trust security clearance/suitability determination.
- Experience with FAA Flight Service Station (FSS) systems, NAS Enterprise Architecture, or Integrated Automation Capability (IAC) programs.
- Familiarity with Human Factors Engineering (HFE) principles as applied to controller workstation environments.
- Knowledge of cloud-native network architectures and AI/ML integration in operational systems.